Literature DB >> 34288959

Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.

Kui Xiao1,2,3, Shenggang Liu4, Yijia Xiao4, Yang Wang5, Zhiruo Zhu1,2,3, Yaohui Wang1,2,3, Jiehan Jiang4.   

Abstract

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. The drug resistance of NSCLC has clinically increased. This study aimed to screen miRNAs associated with NSCLC using bioinformatics analysis. We hope that the screened miRNA can provide a research direction for the subsequent treatment of NSCLC.
METHODS: We screened out the common miRNAs after compared the NSCLC-related genes in the TCGA database and GEO database. Selected miRNA was performed ROC analysis, survival analysis, and enrichment analysis (GO term and KEGG pathway).
RESULTS: A total of 21 miRNAs were screened in the two databases. And they were all highly expressed in normal and low in cancerous tissues. Hsa-mir-30a was selected by ROC analysis and survival analysis. Enrichment analysis showed that the function of hsa-mir-30a is mainly related to cell cycle regulation and drug metabolism.
CONCLUSION: Our study found that hsa-mir-30a was differentially expressed in NSCLC, and it mainly affected NSCLC by regulating the cell cycle and drug metabolism.

Entities:  

Year:  2021        PMID: 34288959     DOI: 10.1371/journal.pone.0254854

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  35 in total

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Review 4.  Role of Cytochrome P450 2C8 in Drug Metabolism and Interactions.

Authors:  Janne T Backman; Anne M Filppula; Mikko Niemi; Pertti J Neuvonen
Journal:  Pharmacol Rev       Date:  2016-01       Impact factor: 25.468

Review 5.  Lung cancer: current therapies and new targeted treatments.

Authors:  Fred R Hirsch; Giorgio V Scagliotti; James L Mulshine; Regina Kwon; Walter J Curran; Yi-Long Wu; Luis Paz-Ares
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6.  Transcriptomic and functional network features of lung squamous cell carcinoma through integrative analysis of GEO and TCGA data.

Authors:  Yin Li; Jie Gu; Fengkai Xu; Qiaoliang Zhu; Di Ge; Chunlai Lu
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7.  Predicting lncRNA-miRNA interactions based on interactome network and graphlet interaction.

Authors:  Li Zhang; Ting Liu; Haoyu Chen; Qi Zhao; Hongsheng Liu
Journal:  Genomics       Date:  2021-02-12       Impact factor: 5.736

8.  BRCA1-induced large-scale chromatin unfolding and allele-specific effects of cancer-predisposing mutations.

Authors:  Q Ye; Y F Hu; H Zhong; A C Nye; A S Belmont; R Li
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9.  Attenuation of RNA polymerase II pausing mitigates BRCA1-associated R-loop accumulation and tumorigenesis.

Authors:  Xiaowen Zhang; Huai-Chin Chiang; Yao Wang; Chi Zhang; Sabrina Smith; Xiayan Zhao; Sreejith J Nair; Joel Michalek; Ismail Jatoi; Meeghan Lautner; Boyce Oliver; Howard Wang; Anna Petit; Teresa Soler; Joan Brunet; Francesca Mateo; Miguel Angel Pujana; Elizabeth Poggi; Krysta Chaldekas; Claudine Isaacs; Beth N Peshkin; Oscar Ochoa; Frederic Chedin; Constantine Theoharis; Lu-Zhe Sun; Tyler J Curiel; Richard Elledge; Victor X Jin; Yanfen Hu; Rong Li
Journal:  Nat Commun       Date:  2017-06-26       Impact factor: 14.919

Review 10.  Deciphering miRNAs' Action through miRNA Editing.

Authors:  Marta Correia de Sousa; Monika Gjorgjieva; Dobrochna Dolicka; Cyril Sobolewski; Michelangelo Foti
Journal:  Int J Mol Sci       Date:  2019-12-11       Impact factor: 5.923

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  1 in total

1.  Identification of the Key miRNAs and Genes Associated with the Regulation of Non-Small Cell Lung Cancer: A Network-Based Approach.

Authors:  Zoya Shafat; Mohd Murshad Ahmed; Fahad N Almajhdi; Tajamul Hussain; Shama Parveen; Anwar Ahmed
Journal:  Genes (Basel)       Date:  2022-06-29       Impact factor: 4.141

  1 in total

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